Roblox Senior Machine Learning Engineer at Roblox building AI-powered products and platforms for the Creator Intelligence team. Owns full stack from LLM orchestration to user-facing applications.
Responsibilities
Help and understand the needs of the community that uses our software, from internal Creator Relations teams to developers of every size around the world.
Take ownership and responsibility for designing, building, testing, and deploying services within the Roblox ecosystem.
Turn early prototypes and team-built tools into reliable, scalable, production-quality products.
Work on a variety of unique technical challenges within complex systems.
Be a technical bar-raiser for high code quality, architectural designs, and long-term planning.
Develop fellow engineers on the team.
Qualification
Experience architectingUnderstanding of toolsProficiency in C++Annual Salary Range
Required
5+ years of experience shipping high-complexity software and supporting mission-critical applications at scale.
Experience architecting, designing, and leading implementation across a wide range of software products and systems.
Experience building AI-powered products in production, including LLM integration, orchestration, reliability, and observability.
Familiarity with agentic systems and multi-step execution loops, including planning, tool use, retrieval, recovery, and long-running workflows.
Understanding of tools, skills, and evaluation frameworks for AI systems, including how to design reliable tool interfaces and measure quality through structured evals.
Experience building data pipelines and turning large-scale behavioral and business data into signals, scores, and recommendations.
Expertise in component-based libraries and frameworks, with a strong grasp of building performant, high-quality user experiences.
Proficiency in C++, C#, Java, Python, or similar programming languages.
Strong understanding of SQL and NoSQL systems at scale.
Comfort working in ambiguity on a new team, partnering closely with product and non-engineering stakeholders to define what gets built.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
